New Approach for Identification of North Indian Musical Instrument For Monophonic Tone

Authors(4) :-Vrushali Gunjal, Priyanka Desai, Jayshree Odhekar, Ghare Prachi

A system has been already developed which can automatically identify the source of monophonic musical instrument sounds. Pre-processing of sound recordings includes calculation of the short term RMS energy envelope, Principal Component Analysis and Ratio of product transformations of the resulting Principal Components. An Artificial Neural Network [ANN] and a K-Nearest Neighbour Classifier [KNN] were compared to determine which provided best classification ability. The overall system performance was tested on the basis of sounds recorded from North Indian musical instruments chosen to represent the family of each major musical instrument and playing notes over the range of one octave under varying sound conditions. Classification precisions in the range 93.8 - 100 % were achieved. This paper provides the results of some primary work carried out to discover the potential of artificial neural network (ANN) and k-nearest neighbor classifiers (KNN) to monophonic musical instrument sounds. Some instruments were studied, chosen to represent each of the major North Indian musical instrument families. Recordings made were pre-processed by calculating the short term RMS energy envelope and performing Principal Component Analysis and calculating Ratio Product transformations of the resultant Principal Components. Two classifiers were presented with the information to determine which provided the best classification results for instrument identification

Authors and Affiliations

Vrushali Gunjal
Computer Engineering, DYPCOE, Ambi, Pune, Maharashtra, India
Priyanka Desai
Computer Engineering, DYPCOE, Ambi, Pune, Maharashtra, India
Jayshree Odhekar
Computer Engineering, DYPCOE, Ambi, Pune, Maharashtra, India
Ghare Prachi
Computer Engineering, DYPCOE, Ambi, Pune, Maharashtra, India

Music Information Retrieval, North Indian classical Music, MIR Toolbox, Timbre

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Publication Details

Published in : Volume 3 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 233-238
Manuscript Number : IJSRSET173350
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Vrushali Gunjal, Priyanka Desai, Jayshree Odhekar, Ghare Prachi, " New Approach for Identification of North Indian Musical Instrument For Monophonic Tone, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.233-238, May-June-2017.
Journal URL : http://ijsrset.com/IJSRSET173350

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